Fault detection for vehicle active suspension systems in finite‐frequency domain. Issue 3 (27th January 2019)

• Record Type: Journal Article
• Authors: Zhu, Xiaodan; Xia, Yuanqing; Chai, Senchun; Shi, Peng
• Is Part Of: IET control theory & applications. Volume 13:Issue 3(2019)
• Page Start: 387
• Page End: 394
• Publication Date: 2019-01-27
• Subjects: filtering theory -- frequency‐domain analysis -- fault diagnosis -- stability -- suspensions (mechanical components) -- linear matrix inequalities -- control system synthesis; residual systems -- stability theory -- filter design -- vehicle active suspension systems -- finite‐frequency domain -- fault detection strategy -- fault detection filters -- different finite frequency domains -- residuals -- faults -- filter problem -- design problem; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2018.5922
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : This study solves a new fault detection strategy for vehicle active suspension systems in finite‐frequency domain. Three fault detection filters are constructed in different finite frequency domains, which ensure that the error between residuals and faults is minimum. The H ∞ filter problem is used to figure out the design problem of fault detection. The conditions of residual systems meeting H ∞ performance are obtained by considering generalised Kalman–Yakubovich–Popov lemma and stability theory. The problem of filter design is solved by an optimisation algorithm. Illustrative examples are given to show the proposed design method's effectiveness and potential.